Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Model Hosting

Amazon SageMaker AI vs Baseten

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon SageMaker AI #1 in Model Hosting 9.3/10 Paid ✓ 0 of 3 features Visit AWS
Baseten #8 in Model Hosting 8.7/10 Free plan Free plan✓ 1 of 3 features Visit Baseten

Amazon SageMaker AI leads on 0 checks, Baseten on 1, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon SageMaker AI · 9.3/10
  • Free planonly Baseten
  • Most featuresBaseten · 1 of 3

Amazon SageMaker AI scores higher on our rubric for model hosting: 9.3 against 8.7 out of 10; our editors rank them #1 and #8.

Baseten offers free plan; Amazon SageMaker AI doesn't.

Amazon SageMaker AI is the better fit for teams wanting end-to-end managed ML on AWS. Baseten is the better fit for teams deploying observable model APIs on managed compute.

  • Amazon SageMaker AI fits best

    Teams wanting end-to-end managed ML on AWS

  • Baseten fits best

    Teams deploying observable model APIs on managed compute

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Amazon SageMaker AI 9.3/10 Visit ↗ Baseten 8.7/10 Visit ↗
At a glance
Editor score 9.3 8.7
Ranking #1 in Model Hosting #8 in Model Hosting
Best for Teams wanting end-to-end managed ML on AWS Teams deploying observable model APIs on managed compute
Pricing model Paid Free plan + paid
Starting price Not checked yet —
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Docs Email, Live chat, Docs
Compliance SOC 2, ISO 27001 SOC 2, GDPR, HIPAA, SSO/SAML
Integrations 6 integrations 17 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon SageMaker AI 0/3 · Baseten 1/3
Custom model hosting Not checked yet Not checked yet
Autoscaling Not checked yet ✓ (best)
GPU inference Not checked yet Not checked yet
Specs
Deployment type Not checked yet Not checked yet
Supported runtimes Not checked yet Not checked yet
Deployment regions Not checked yet 2
Our review
Pros
  • Supports managed training, distributed workloads, and several inference modes
  • Connects experiment tracking, model registry, and pipelines in one workflow
  • Offers Feature Store plus AWS security and networking integrations
  • Managed CPU and GPU deployments with autoscaling and scale-to-zero
  • Logs, metrics and tracing for deployed models
  • Basic includes dedicated deployments, Model APIs and training
Cons
  • Usage-based pricing spans compute, storage, and data processing
  • AWS Free Tier usage applies only during the first two months
  • Several legacy features are unavailable to new customers or have ended support
  • Basic compute charges apply despite its $0 monthly platform price
  • Pro and Enterprise have no listed prices
  • Advanced options such as custom SLAs and data residency control are Enterprise features
Our verdict

Amazon SageMaker AI is a managed machine-learning service for data scientists, developers, and ML engineers working in AWS. Its scope covers model development in a web-based Studio environment, managed training, experiment tracking, model…

Read the review →

Baseten provides infrastructure for deploying open-source, custom and fine-tuned models in production. Teams can package models with Truss or deploy custom Docker containers and supported inference servers, then call them through managed…

Read the review →
  1. Amazon SageMaker AIModel Hosting 9.3Paid
  2. BasetenModel Hosting 8.7Free plan

Strengths and trade-offs

  • Amazon SageMaker AI — where it wins

    • Supports managed training, distributed workloads, and several inference modes
    • Connects experiment tracking, model registry, and pipelines in one workflow
    • Offers Feature Store plus AWS security and networking integrations

    Where it doesn't

    • Usage-based pricing spans compute, storage, and data processing
    • AWS Free Tier usage applies only during the first two months
    • Several legacy features are unavailable to new customers or have ended support

  • Baseten — where it wins

    • Managed CPU and GPU deployments with autoscaling and scale-to-zero
    • Logs, metrics and tracing for deployed models
    • Basic includes dedicated deployments, Model APIs and training

    Where it doesn't

    • Basic compute charges apply despite its $0 monthly platform price
    • Pro and Enterprise have no listed prices
    • Advanced options such as custom SLAs and data residency control are Enterprise features
  • Amazon SageMaker AI9.3/10 · Paid

    A broad AWS-managed ML lifecycle, with usage-based costs and no ongoing free plan.

    Visit AWSFull verdict →
  • Baseten8.7/10 · Free plan

    Managed model APIs, GPU deployments and observability, with compute billed by usage.

    Visit BasetenFull verdict →

More comparisons

All model hosting comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update